CITE Open Conference Systems, Digital generations -> Learning society

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Personalization: the Future of Open Online Courses
Min Lan

Last modified: 2015-04-14


MOOCs from all over world prestigious universities have refreshed and broaden the students or potential learners’ approach to higher education. The systematic online pedagogy, free access, self-paced learning, and network with global learners have undisputedly brought initiative thinking to the educators, like flipped classroom. These features of MOOCs have been shown broken through the limitations of traditional classroom-based teaching and learning. However, the massive participants or tons of materials do not represent the improvement of education quality. After the success of massification, educators need to consider how to make these online courses personalized. This is aimed at ensuring potential learners’ learning quality. Therefore, understanding the learners’ preference on MOOCs learning is necessary before the course design. In this study, through data from the University of Hong Kong’s first MOOC in Edx, the researchers apply the VARK model to identify the four kinds of possible learning styles (visual, aural, read/write, and kinesthetic) in this course. The purpose of this study is to explore the relationship between learning styles with demographic factors, such as age, education level, and geographical distribution. Exploring this relationship can help MOOCs designers utilize the automatic tracking technologies, materials database, and creative pedagogy to adapt these courses on personalized basis for individual learners.